Synopsis: This study is part of the CSSEF project and is focused on the Crop sub-component of the land model (CLM). The CLM-Crop model is a complex system that relies on a suite of parametric inputs that govern plant growth under a given atmospheric forcing and available resources. CLM-Crop development used measurements GPP and NEE from AmeriFlux sites to choose parameter values that optimize crop productivity in the model.

The results below are from a calibration exercise of the CLM-Crop model with Bondville IL data. Part of the collaborative writing was carried out using writelatex.